Evidence map›Paper›PMID 31736191›Full record

ArticleThe breast journal2020

Identifying tests related to breast cancer care in claims data.

Benjamin L Franc, Robert Thombley, Yanting Luo, W John Boscardin, Hope S Rugo, David Seidenwurm, R Adams Dudley

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The breast journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Benjamin L FrancDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-4151-2227
Robert ThombleyPhilip R. Lee Institute for Health Policy Studies, Center for Healthcare Value, University of California, San Francisco, CA, USA.
Yanting LuoPhilip R. Lee Institute for Health Policy Studies, Center for Healthcare Value, University of California, San Francisco, CA, USA.
W John BoscardinDepartment of Medicine, Epidemiology & Biostatistics, San Francisco, CA, USA.
Hope S RugoDepartment of Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
David SeidenwurmSutter Medical Foundation, Sacramento, CA, USA.
R Adams DudleyPhilip R. Lee Institute for Health Policy Studies, Center for Healthcare Value, University of California, San Francisco, CA, USA.
Lee University · USCancer Research And Biostatistics · USStanford Medicine · USSutter Medical Center · USUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
Variation in Provider Breast Cancer Surveillance Strategies Following Initial Treatment: Contribution of Patient and Provider Factors, Association with Outcomes, and Stakeholder InsightsR01HS024936 · AHRQ · UNIVERSITY OF MINNESOTA · PI DUDLEY, R. ADAMS · 2016 to 2019
$1.6M
Agency for Healthcare Research and Quality 1R01HS024936-01AHRQ HHS R01 HS024936NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

To develop a method for calculating rates of testing for breast cancer recurrence in patients who have already undergone initial treatment for breast cancer, we calculated rates in a cohort of Medicare breast cancer patients and an age-matched noncancer cohort. We first used only tests with claims including diagnosis codes indicating invasive breast cancer and then used all tests regardless of diagnosis code. For each method, we calculated testing rates in the breast cancer cohort above the background rate in the noncancer population. The two methods provided similar estimates of testing prevalence and frequency, with exception of prevalence of CT.

Indexed as

Breast NeoplasmsAgedCohort StudiesFemaleHumansMedicareNeoplasm Recurrence, LocalSEER ProgramUnited Statesbreast cancerimaging utilizationsurveillance epidemiology and end resultstest utilization

Identifiers

PMID31736191
PMCPMC7304302
OpenAlexW2983360532

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.